OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
W. Bolton, Richard Wilson, Mark Gilchrist, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
W. Bolton, Richard Wilson, Mark Gilchrist, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Showing 14 citing articles:
Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy
Flavia Pennisi, Armando Teixeira‐Pinto, Giovanni Emanuele Ricciardi, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2025)
Closed Access | Times Cited: 1
Flavia Pennisi, Armando Teixeira‐Pinto, Giovanni Emanuele Ricciardi, et al.
European Journal of Clinical Microbiology & Infectious Diseases (2025)
Closed Access | Times Cited: 1
Advancing Patient Safety: The Future of Artificial Intelligence in Mitigating Healthcare-Associated Infections: A Systematic Review
Davide Radaelli, Stefano Di Maria, Zlatko Jakovski, et al.
Healthcare (2024) Vol. 12, Iss. 19, pp. 1996-1996
Open Access | Times Cited: 4
Davide Radaelli, Stefano Di Maria, Zlatko Jakovski, et al.
Healthcare (2024) Vol. 12, Iss. 19, pp. 1996-1996
Open Access | Times Cited: 4
Fair streaming feature selection
Zhangling Duan, Tianci Li, Zhaolong Ling, et al.
Neurocomputing (2025), pp. 129394-129394
Closed Access
Zhangling Duan, Tianci Li, Zhaolong Ling, et al.
Neurocomputing (2025), pp. 129394-129394
Closed Access
A Precision Medicine Model for Targeted Antibiotic Therapy in Urinary Tract Infections: A Valuable Tool to Reduce Hospitalization Stay and the Time to Switch to Oral Treatment
Tommaso Cai, Anna Brugnolli, Massimiliano Lanzafame, et al.
Antibiotics (2025) Vol. 14, Iss. 2, pp. 211-211
Open Access
Tommaso Cai, Anna Brugnolli, Massimiliano Lanzafame, et al.
Antibiotics (2025) Vol. 14, Iss. 2, pp. 211-211
Open Access
Can we rely on artificial intelligence to guide antimicrobial therapy? A systematic literature review
Sulwan Algain, Alexandre R. Marra, Takaaki Kobayashi, et al.
Antimicrobial Stewardship & Healthcare Epidemiology (2025) Vol. 5, Iss. 1
Open Access
Sulwan Algain, Alexandre R. Marra, Takaaki Kobayashi, et al.
Antimicrobial Stewardship & Healthcare Epidemiology (2025) Vol. 5, Iss. 1
Open Access
Artificial intelligence in hospital infection prevention: an integrative review
Rabie Adel El Arab, Zainab Almoosa, Mansour Alkhunaizi, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Rabie Adel El Arab, Zainab Almoosa, Mansour Alkhunaizi, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
Doris Rušić, Marko Kumrić, Ana Šešelja Perišin, et al.
Microorganisms (2024) Vol. 12, Iss. 5, pp. 842-842
Open Access | Times Cited: 3
Doris Rušić, Marko Kumrić, Ana Šešelja Perišin, et al.
Microorganisms (2024) Vol. 12, Iss. 5, pp. 842-842
Open Access | Times Cited: 3
A machine learning-based predictive model of causality in orthopaedic medical malpractice cases in China
Qingxin Yang, Li Luo, Zhangpeng Lin, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300662-e0300662
Open Access | Times Cited: 1
Qingxin Yang, Li Luo, Zhangpeng Lin, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300662-e0300662
Open Access | Times Cited: 1
Navigating the future: machine learning's role in revolutionizing antimicrobial stewardship and infection prevention and control
John Hanna, Richard J Medford
Current Opinion in Infectious Diseases (2024) Vol. 37, Iss. 4, pp. 290-295
Closed Access | Times Cited: 1
John Hanna, Richard J Medford
Current Opinion in Infectious Diseases (2024) Vol. 37, Iss. 4, pp. 290-295
Closed Access | Times Cited: 1
Using digital health technologies to optimise antimicrobial use globally
Timothy M. Rawson, Nina Zhu, Ronald Galiwango, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 12, pp. e914-e925
Open Access | Times Cited: 1
Timothy M. Rawson, Nina Zhu, Ronald Galiwango, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 12, pp. e914-e925
Open Access | Times Cited: 1
Predicting individual patient and hospital-level discharge using machine learning
Jia Wei, Jiandong Zhou, Zizheng Zhang, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Jia Wei, Jiandong Zhou, Zizheng Zhang, et al.
Communications Medicine (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Rise of the Machines - Artificial Intelligence in Healthcare Epidemiology
Lemuel Non, Alexandre R. Marra, Dilek İnce
Current Infectious Disease Reports (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Lemuel Non, Alexandre R. Marra, Dilek İnce
Current Infectious Disease Reports (2024) Vol. 27, Iss. 1
Closed Access | Times Cited: 1
Improving patient flow through hospitals with machine learning based discharge prediction
Jia Wei, Jiandong Zhou, Zizheng Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Jia Wei, Jiandong Zhou, Zizheng Zhang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Prediction of Rock Fracture Pressure in Hydraulic Fracturing with Interpretable Machine Learning and Mechanical Specific Energy Theory
Xiaoying Zhuang, Yuhang Liu, Yuwen Hu, et al.
Rock Mechanics Bulletin (2024), pp. 100173-100173
Open Access
Xiaoying Zhuang, Yuhang Liu, Yuwen Hu, et al.
Rock Mechanics Bulletin (2024), pp. 100173-100173
Open Access
Development and Validation of a Machine learning Model for the Prediction of Short-Term Mortality among Patients with Sepsis: A Retrospective Cohort Study
Xiaocong Hu, Ming Chen, Qianni Zhu, et al.
Research Square (Research Square) (2024)
Open Access
Xiaocong Hu, Ming Chen, Qianni Zhu, et al.
Research Square (Research Square) (2024)
Open Access
